DeltaQ continuously optimizes your building controls, combining forecast data and A.I. to match user needs.

How we deploy

DeltaQ gateway installation

To gather the building data and apply the DeltaQ control signals, a small-sized communication device is installed: the DeltaQ Building Gateway. Our team coordinates any preparatory work if applicable.

Start data collection

The DeltaQ gateway connects to the building control / BMS network, gathers data and feeds it to the DeltaQ cloud platform. Data transfer to the cloud is done via an on-site connection to the internet or via cellular connection in case of network restrictions.

Building configuration

The building is configured by the DeltaQ team with support from the building maintenance staff. With every configuration step, more real-time operational monitoring is displayed on the DeltaQ dashboard.

Training of staff

We train the building maintenance staff on the DeltaQ steering and dashboard functionalities. Furthermore, we streamline service and intervention procedures to ensure smooth collaboration.

Self-learning building model

DeltaQ self-learning algorithms require 4-8 weeks of data to identify and calibrate a building model (digital twin of the building). After initial model identification, DeltaQ recalibrates the model on a weekly basis to account for changes in building characteristics, occupation, seasonal changes, etc.

Start predictive control

DeltaQ calculates optimal control signals combining the building model with user requirements, weather forecasts, energy price data, etc. The optimal control signals are applied automatically and continuously to the building control / BMS, overruling specific setpoints.

How we make a difference

DeltaQ’s self-learning algorithms learn how a building behaves under varying internal and weather conditions. DeltaQ will continuously maximize energy cost savings while ensuring optimal comfort.

Meetup? See it in action?

Feel free to contact us.